考虑转供率和容载比的主动配电网供电能力提升研究

阮永丽; 屈军; 王妍; 庾信; 周汉良; 杨博

引用本文:	阮永丽,屈军,王妍,等.考虑转供率和容载比的主动配电网供电能力提升研究[J].电力系统保护与控制,2026,54(09):51-64.
	RUAN Yongli,QU Jun,WANG Yan,et al.Study on enhancing power supply capacity of active distribution networks considering transfer rate and capacity-to-load ratio[J].Power System Protection and Control,2026,54(09):51-64

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考虑转供率和容载比的主动配电网供电能力提升研究
阮永丽¹，屈军¹，王妍¹，庾信¹，周汉良¹，杨博²
1. 云南电网有限责任公司昆明供电局，云南昆明 650011；2. 昆明理工大学，云南昆明 650500

摘要:

随着可再生能源渗透率的持续提升，配电网(distribution network, DN)的运行面临更高的波动性与不确定性。为此，以不同新能源渗透率和四季典型日为基准场景，构建了集风电(wind turbine, WT)、光伏(photovoltaic, PV)、电池储能系统(battery energy storage system, BESS)及需求响应(demand response, DR)机制于一体的多能互补 DN 仿真模型。针对不同风光渗透率场景，设计以全生命周期成本(life cycle cost, LCC)和电压偏差为目标的多目标优化模型，综合考虑BESS容量、功率及运行策略的协同优化。模型采用多种主流优化算法对目标函数和关键指标进行求解与对比，并重点引入转供率(transfer rate, TR)和容载比(capacity-to-load ratio, CLR)作为供电能力的核心评估指标。通过多场景仿真，系统分析了BESS在不同风光渗透率和DR水平下对TR、CLR和电压质量等指标的提升效果。结果表明，合理配置BESS并引入DR，不仅能有效提升高渗透率可再生能源下的供电能力和经济性，还能显著优化DN的运行特性，为高比例可再生能源接入下的BESS规划与供电能力评估提供了理论依据和实践参考。

关键词: 转供率容载比储能规划新能源渗透率

DOI：10.19783/j.cnki.pspc.250835

分类号:

基金项目:国家自然科学基金项目资助(62263014)；云南电网有限责任公司科技项目资助(YNKJXM20230247)“新型电力系统配电网供电能力提升规划方法研究”

Study on enhancing power supply capacity of active distribution networks considering transfer rate and capacity-to-load ratio

RUAN Yongli¹, QU Jun¹, WANG Yan¹, YU Xin¹, ZHOU Hanliang¹, YANG Bo²

1. Kunming Power Supply Bureau, Yunnan Power Grid Co., Ltd., Kunming 650011, China; 2. Kunming University of Science and Technology, Kunming 650500, China

Abstract:

With the continuous increase of renewable energy penetration, the operation of distribution networks (DN) faces greater volatility and uncertainty. To address this issue, a multi-energy complementary DN simulation model is developed based on benchmark scenarios with varying new energy penetration levels and typical days of four seasons. The model integrates wind turbines (WT), photovoltaic (PV) systems, battery energy storage systems (BESS), and demand response (DR) mechanisms. For different wind and solar penetration scenarios, a multi-objective optimization model is designed, taking life cycle cost (LCC) and voltage deviation as objectives. The model comprehensively considers the coordinated optimization of BESS capacity, power rating, and operational strategies. Several mainstream optimization algorithms are employed to solve and compare the objective functions and key performance indicators. In particular, the transfer rate (TR) and capacity-to-load ratio (CLR) are introduced as core assessment performance indicators for power supply capability. Through multi-scenario simulation, the impacts of BESS on TR, CLR, and voltage quality are systematically analyzed under different renewable energy penetration rates and DR participation levels. The results show that the rational configuration of BESS combined with DR can not only effectively improve the power supply capacity and economic performance under high renewable penetration, but also significantly improve the operational characteristics of the DN. The findings provide theoretical basis and practical reference for BESS planning and power supply capacity assessment in distribution networks with high shares of renewable energy.

Key words: transfer rate capacity-to-load ratio energy storage planning new energy penetration

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